Science & Research H-1B Sponsorship Jobs in California
California is one of the most active states for H-1B visa science and research sponsorship, anchored by major employers like Genentech, Gilead Sciences, Lawrence Berkeley National Laboratory, and Caltech. Research hubs in the San Francisco Bay Area, San Diego, and Los Angeles draw international scientists, biologists, chemists, and research engineers seeking sponsored positions at biotechs, national labs, and universities.
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Get Access To All JobsTHE POSITION
We advance science so that we all have more time with the people we love.
The Expert Data Scientist is an expert in data visualization, data analysis, data insights, and applied AI/ML-enabled analytics, enabling stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The Expert Data Scientist works directly with ECD clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication- or disease-specific scientific questions are explored thoroughly using creative data analysis, analytical applications, data visualizations, automation, and fit-for-purpose innovation.
Your primary responsibility will be to provide strategic and technical direction for the development, implementation, and continuous improvement of Early Clinical Development data review capabilities at the indication, program, and study level. You will develop scalable solutions and processes that create organizational impact, while continuously identifying opportunities to simplify, automate, innovate, and collaborate with experts within and outside of ECD.
The Expert Data Scientist also manages implementation and adoption of medical data review and visualization applications by providing training, consultation, and dedicated support. The role contributes to ECD portfolio-level review and visualization capabilities, while helping evolve current workflows through automation, data-driven processes, and practical application of AI and advanced technologies where appropriate.
The Opportunity:
- Strategically uses internal and external data to develop advanced data visualizations and analytical applications that are fit-for-purpose for gRED Early Clinical Development, while identifying opportunities to apply AI, automation, and scalable digital solutions to improve medical data review efficiency.
- Acts as a main point of contact for Therapeutic Area leads or disease area leads with questions on specific disease-area data exploratory analysis and medical data review needs, including opportunities to modernize review workflows through automation, chatbot-enabled access, or AI-assisted data exploration where appropriate.
- Provides guidance, training, consultation, and dedicated support for medical data review and analytical visualization tools, including adoption of modern technologies, automation-enabled workflows, and AI/ML-supported analytical capabilities.
- Collaborates within ECD and other line functions, including AI engineers, software engineers, and platform teams, to align and simplify processes, prevent redundancy in analytics, and accelerate data-driven decision-making through automation, reusable solutions, and scalable data-driven processes.
- Co-leads AI/automation-focused projects with technical partners by translating business needs into technical requirements, supporting solution design, and ensuring outputs are practical, scalable, and aligned with clinical stakeholder needs.
- Creates derived datasets from raw clinical trial data to support medical data review, statistical analysis, visualization, and reporting, and contributes to automation of data mapping, transformation, standardization, and quality review processes where feasible.
- Writes detailed specifications for datasets, tables, analyses, visualizations, analytical applications, and automation-enabled workflows based on clinical, business, and regulatory requirements, and collaborates with AI/software engineering partners to ensure effective implementation.
- Develops and maintains standard programming packages, reusable functions, automation components, AI/ML-enabled utilities, and tools to improve efficiency and ensure compliance with industry standards.
- Uses strong technical expertise and skills to find opportunities for innovation, efficiency, simplification, automation, and practical application of AI or advanced technologies with the mindset of working smarter.
- Collaborates across teams to bridge business needs with technical implementation, drive adoption of modern technologies and scalable solutions, and help shape future ways of working for medical data review and analytical applications.
Who You Are:
- 5+ years of experience with Bachelor’s; 3+ years with Master’s; 1+ years with PhD, in statistics, computer science, data science, biomedical informatics, engineering, mathematics, or a relevant technical discipline.
- Significant experience in clinical trial data analysis, medical data review, data visualization, or analytical application development in the pharmaceutical or biotech industry.
- Strong understanding of the data flow in the end-to-end drug development lifecycle, with the ability to translate clinical data review needs into technical requirements for analytics, automation, and AI-enabled solutions.
- Experience creating SDTM, ADaM, derived datasets, and/or developing TFLs using SAS, R, Python, or related tools, with interest or experience in automating data mapping, transformation, quality review, and analytical workflows.
- Experience with clinical data visualization tools such as Spotfire, Tableau, R/Shiny, or similar analytical applications, including implementation, user support, and continuous improvement of tools used by clinical stakeholders.
- Experience applying, supporting, or co-leading automation, advanced analytics, AI/ML, NLP, LLMs, chatbots, or agentic workflow solutions to practical business problems is preferred.
- Ability to work closely with AI engineers, platform teams, and clinical stakeholders to co-lead AI/automation projects from business problem definition through technical implementation, user adoption, and continuous improvement.
- Experience translating business needs into technical requirements, scalable analytical solutions, automation workflows, and implementation plans in partnership with technical teams.
- Demonstrated ability to provide training, consultation, implementation support, and dedicated user support for analytical tools, medical data review applications, or AI/automation-enabled workflows.
- Experience driving adoption of modern technologies, automation, analytics, or scalable digital solutions across teams, including helping stakeholders understand and use new capabilities effectively.
- Track record of establishing successful partnerships across organizations.
- Excellent written and verbal communication skills, strong project management skills, and the ability to navigate in a complex, international, and matrixed environment.
Relocation benefits are not available for this posting.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $185,200 - $343,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
JOB FACTS
Job Sub Category Computational Biology
Schedule Full time
Job Type Regular
Posted Date May 15th 2026
Job ID 202605-112435
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
THE POSITION
We advance science so that we all have more time with the people we love.
The Expert Data Scientist is an expert in data visualization, data analysis, data insights, and applied AI/ML-enabled analytics, enabling stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The Expert Data Scientist works directly with ECD clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication- or disease-specific scientific questions are explored thoroughly using creative data analysis, analytical applications, data visualizations, automation, and fit-for-purpose innovation.
Your primary responsibility will be to provide strategic and technical direction for the development, implementation, and continuous improvement of Early Clinical Development data review capabilities at the indication, program, and study level. You will develop scalable solutions and processes that create organizational impact, while continuously identifying opportunities to simplify, automate, innovate, and collaborate with experts within and outside of ECD.
The Expert Data Scientist also manages implementation and adoption of medical data review and visualization applications by providing training, consultation, and dedicated support. The role contributes to ECD portfolio-level review and visualization capabilities, while helping evolve current workflows through automation, data-driven processes, and practical application of AI and advanced technologies where appropriate.
The Opportunity:
- Strategically uses internal and external data to develop advanced data visualizations and analytical applications that are fit-for-purpose for gRED Early Clinical Development, while identifying opportunities to apply AI, automation, and scalable digital solutions to improve medical data review efficiency.
- Acts as a main point of contact for Therapeutic Area leads or disease area leads with questions on specific disease-area data exploratory analysis and medical data review needs, including opportunities to modernize review workflows through automation, chatbot-enabled access, or AI-assisted data exploration where appropriate.
- Provides guidance, training, consultation, and dedicated support for medical data review and analytical visualization tools, including adoption of modern technologies, automation-enabled workflows, and AI/ML-supported analytical capabilities.
- Collaborates within ECD and other line functions, including AI engineers, software engineers, and platform teams, to align and simplify processes, prevent redundancy in analytics, and accelerate data-driven decision-making through automation, reusable solutions, and scalable data-driven processes.
- Co-leads AI/automation-focused projects with technical partners by translating business needs into technical requirements, supporting solution design, and ensuring outputs are practical, scalable, and aligned with clinical stakeholder needs.
- Creates derived datasets from raw clinical trial data to support medical data review, statistical analysis, visualization, and reporting, and contributes to automation of data mapping, transformation, standardization, and quality review processes where feasible.
- Writes detailed specifications for datasets, tables, analyses, visualizations, analytical applications, and automation-enabled workflows based on clinical, business, and regulatory requirements, and collaborates with AI/software engineering partners to ensure effective implementation.
- Develops and maintains standard programming packages, reusable functions, automation components, AI/ML-enabled utilities, and tools to improve efficiency and ensure compliance with industry standards.
- Uses strong technical expertise and skills to find opportunities for innovation, efficiency, simplification, automation, and practical application of AI or advanced technologies with the mindset of working smarter.
- Collaborates across teams to bridge business needs with technical implementation, drive adoption of modern technologies and scalable solutions, and help shape future ways of working for medical data review and analytical applications.
Who You Are:
- 5+ years of experience with Bachelor’s; 3+ years with Master’s; 1+ years with PhD, in statistics, computer science, data science, biomedical informatics, engineering, mathematics, or a relevant technical discipline.
- Significant experience in clinical trial data analysis, medical data review, data visualization, or analytical application development in the pharmaceutical or biotech industry.
- Strong understanding of the data flow in the end-to-end drug development lifecycle, with the ability to translate clinical data review needs into technical requirements for analytics, automation, and AI-enabled solutions.
- Experience creating SDTM, ADaM, derived datasets, and/or developing TFLs using SAS, R, Python, or related tools, with interest or experience in automating data mapping, transformation, quality review, and analytical workflows.
- Experience with clinical data visualization tools such as Spotfire, Tableau, R/Shiny, or similar analytical applications, including implementation, user support, and continuous improvement of tools used by clinical stakeholders.
- Experience applying, supporting, or co-leading automation, advanced analytics, AI/ML, NLP, LLMs, chatbots, or agentic workflow solutions to practical business problems is preferred.
- Ability to work closely with AI engineers, platform teams, and clinical stakeholders to co-lead AI/automation projects from business problem definition through technical implementation, user adoption, and continuous improvement.
- Experience translating business needs into technical requirements, scalable analytical solutions, automation workflows, and implementation plans in partnership with technical teams.
- Demonstrated ability to provide training, consultation, implementation support, and dedicated user support for analytical tools, medical data review applications, or AI/automation-enabled workflows.
- Experience driving adoption of modern technologies, automation, analytics, or scalable digital solutions across teams, including helping stakeholders understand and use new capabilities effectively.
- Track record of establishing successful partnerships across organizations.
- Excellent written and verbal communication skills, strong project management skills, and the ability to navigate in a complex, international, and matrixed environment.
Relocation benefits are not available for this posting.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $185,200 - $343,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
JOB FACTS
Job Sub Category Computational Biology
Schedule Full time
Job Type Regular
Posted Date May 15th 2026
Job ID 202605-112435
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
H-1B Science & Research Job Roles in California
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Search Science & Research Jobs in CaliforniaScience & Research H-1B Sponsorship Jobs in California: Frequently Asked Questions
Which science and research companies sponsor H-1B visas in California?
California's biotechnology and life sciences sector includes some of the most active H-1B visa sponsors in the country. Companies like Genentech, Gilead Sciences, Amgen, Illumina, and 10x Genomics have consistent histories of H-1B filings for research roles. National laboratories such as Lawrence Berkeley, SLAC, and JPL also sponsor research scientists. University of California campuses are among the top institutional sponsors statewide.
Which cities in California have the most science and research H-1B sponsorship jobs?
The San Francisco Bay Area leads by volume, with concentrations in South San Francisco, San Francisco, and the broader biotech corridor along Highway 101. San Diego is a major hub for pharmaceutical and genomics research, home to companies like Illumina and Scripps Research. Los Angeles has growing research activity tied to UCLA, USC, and several biotech campuses. Sacramento sees smaller but steady demand from agricultural and environmental research employers.
What types of science and research roles typically qualify for H-1B sponsorship in California?
Roles that typically qualify are those requiring at least a bachelor's degree in a specific scientific or technical discipline. Common examples include research scientists, computational biologists, chemists, biostatisticians, clinical research associates, environmental scientists, and R&D engineers. USCIS evaluates whether the position qualifies as a specialty occupation, meaning the degree requirement must be tied directly to the specific job duties, not just general education.
How do I find science and research H-1B sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters science and research positions in California by H-1B sponsorship history, so you can focus on employers who have filed for H-1B workers in your field rather than applying broadly. Search by role type and location to identify active opportunities at California biotechs, national labs, and research universities. This saves significant time compared to manually verifying sponsorship eligibility on a company-by-company basis.
Are there any California-specific considerations for H-1B sponsorship in science and research?
California's strong university system and NIH-funded research infrastructure mean many sponsoring employers are either academic institutions or companies spun out of university research programs. Employers in California must comply with state labor laws on top of federal H-1B prevailing wage requirements, which can affect how job offers are structured. California's high concentration of cap-exempt employers, including universities and nonprofit research organizations, also means some positions can be filed outside the annual H-1B lottery.
What is the prevailing wage for H-1B science & research jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.